DC1

■4.1 Introduction †

• これまでの色々なMeta-popモデルの流れ
  • Source-sink dynamics
  • Immigration and emigration on local population
  • habitat selection application
  • indicidual based movement

    --> multi species metapopulation ==  Metacommunities

  • spatial contimuum model to spatial PVA (Ch.3)

□□SPOM(確率的パッチ占有モデル) and deterministic approximation (Ch.4) †

• Model charactoristics
  • classical local population was captured
  • belongs to island model (important also in evolution and genetics)
  • often allow rigorous mathematical analysis
  • good to model real metapopulations in "highly fragmented landscape"
  • can be parametarized from empirical data (Ch.5)

• Butterfly distribution
  • Fig4.1 地図とパッチのネットワーク

■■Stochastic patch occupancy models †

■4.2 Patch occupancy models :Homogeneous patch network †

■■Levins metapopulation model(メタ個体群モデルの母) †

■■BOX 4.1 The stochastic logistic model †

■■BOX 4.2 Quasistationary Distributions and Extinction Times †

■4.3 Patch occupancy models : Heterogeneous patch network †

■■Spatially realistic metapopulation theory †

■■Spatially realistic Levins model(SRLM) †

■■■Local extinction †

■■■Colonization †

■■BOX 4.3 Dispersal Kernels †

■■Incidence function model(IFM) †

■4.4 Deterministic theory †

■■Metapopulation capacity †

■■Classification of SPOMs †

■■Patch values †

■■Transient dynamics †

■4.5 Stochastic theory †

■■Effective metapopulation size †

■■Spatially correlated and temporally varying environmental conditions †

■4.6 Comparison with other modeling approaches †

■4.7 Current state of the theory and applications †

■4.8 Links with landscape ecology, epidemiology, and matrix population models †